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Zahir TariView profile

Professor

• Computer Science
• Cybersecurity
• Cloud Computing
• +4 more

Prof. Zahir Tari is a leading international expert in Computer Science, currently serving as a Professor at the School of Computing Technologies at RMIT University. He holds a prominent role as Research Director of the Centre of Cyber Security Research and Innovation (CCSRI) and has been appointed to the ARC College of Experts (2022-2024). Research Interests : Prof. Tari specializes in designing innovative solutions for large-scale systems including Cloud, Edge, and IoT environments, with particular emphasis on cybersecurity, performance optimization, and reliability of critical systems like SCADA and Smart Grids. His work integrates mathematical models with computational approaches to address complex security and scalability challenges. Research Trends : Recent publications highlight his leadership in blockchain-based energy trading privacy, cross-domain access control systems, IoT security frameworks, and federated learning approaches for vulnerability detection. His work combines theoretical rigor with practical implementations in domains ranging from healthcare to military applications. Scientific Recognition : Member, ARC College of Experts (2022-2024) Supervision & Funding : Prof. Tari has successfully supervised 31 PhD students to completion and secured over AUD 21 million in research funding through prestigious grants including an ARC Research Hub, CRC-P, multiple ARC Discovery Projects, and industry partnerships with organizations like Siemens. His research has produced 279 publications with an h-index of 49 and over 10,800 citations.

• Robotics and Automation
• Manufacturing Engineering
• Thermal Management
• +6 more

Romeo Marian is an Associate Professor in Engineering at UniSA STEM, University of South Australia. He specializes in Robotics, Manufacturing Engineering, and Thermal Management. His research focuses on advancing technologies such as robotic flexible assembly cells, maintenance optimization for flow networks, and AI-driven educational frameworks. He is affiliated with the School of Engineering and the Australian Research Centre for Interactive and Virtual Environments. Research interests include flapping wing systems, digital twin applications, and sustainable manufacturing. His work addresses challenges in Industry 4.0, such as real-time robotic control and batch-size-of-one production models. Collaborations with the Defence Science and Technology Group highlight his contributions to defense-related systems. Dr. Marian has supervised research degrees and contributed to grants like the Australian Government Research Training Program. His labs and teams focus on experimental validation, including aero engine testing and thermoelectric cooling systems. Recent studies emphasize reliability-centered maintenance and AI ethics in education through frameworks like Cybertrainer.

Olajide FunminiyiView profile

Senior Lecturer

• Cyber Security
• Digital Forensics
• Incident Response and Management
• +3 more

Dr. Olajide Funminiyi is a Senior Lecturer in Cyber Security and Digital Forensics at the School of Computer Science and Engineering, University of Westminster, London. He serves as Course Leader for the MSc Cyber Security and Forensics program. With over 32 years of professional experience, his expertise spans academic leadership, research supervision, and industry collaborations. Dr. Olajide holds a PhD in Cybersecurity from the University of Portsmouth, an MSc in Forensic Information Technology, and an MBA from Edge Hill University. His research focuses on cyber security frameworks, digital forensics (including malware analysis, mobile, and cloud forensics), incident response, and enterprise security management. He is Editor-in-Chief of the International Journal of e-Healthcare Information Systems and a member of professional bodies such as the Chartered Society of Forensic Sciences and the British Computer Society. Dr. Olajide actively supervises PhD students and has successfully mentored researchers in areas like cybercrime management and SCADA forensics. Education: PhD in Cybersecurity: Digital Forensics Investigations (University of Portsmouth, UK) MSc in Forensic Information Technology (University of Portsmouth, UK) MBA with Distinction (Edge Hill University, UK) Research Interests: Cybersecurity, Digital Forensics, Incident Response, Cloud Computing, Enterprise Agility, and Information Systems Management. He emphasizes cross-disciplinary approaches to address cyber threats in business and organizational contexts. Professional Roles: Director of Studies (DoS) for PhD students at the University of Westminster Former Senior Lecturer and Course Leader at Nottingham Trent University Collaborations with Airbus on SOC and Cybersecurity Management Awards & Memberships: Senior Fellow, Higher Education Academy (SFHEA-UK) Fellow, British Computer Society (FBCS-UK) Member, Chartered Society of Forensic Sciences (CSFS-UK) Supervision & Grants: Supervised over 10 PhD candidates, including Dr. Olatorera Chidozie Williams (completed in 2023). Actively involved in mentoring and guiding doctoral researchers in cybercrime, forensics, and cloud security. Research projects include frameworks for user input analysis, SCADA forensics, and cyber-attack mitigation strategies. Labs & Teams: Member of the Cyber security Criminal Investigative and Forensic Research (CIFR) group at the University of Westminster, focusing on interdisciplinary cybersecurity solutions.

• Cybersecurity
• Critical Infrastructures
• Internet of Things (IoT)
• +4 more

Prof Leandros Maglaras is a Professor at the School of Computing, Engineering and the Built Environment, Edinburgh Napier University. He has published extensively on cybersecurity topics including critical infrastructure protection, IoT security, and machine learning applications in network defense. Recent Research: Focuses on post-quantum cryptography, blockchain-based security systems, and digital twin applications for attack detection. Publications: 15 most recent works span journals and conferences in cybersecurity, with emphasis on 2024-2025 outputs. Current Collaborations: Works with researchers including Naghmeh Moradpoor, Berk Canberk, and Bill Buchanan on emerging threats in autonomous vehicles, electric vehicle security, and Linux ransomware analysis. Key methodologies include TLS fingerprinting, federated learning, and augmented reality security systems Active in developing visualization tools for incident response playbooks PhD Supervision: Serves as second supervisor for Yagmur Yigit's research on smart attack detection in autonomous networks.

Stjepan GrošView profile

Associate Professor

• Cybersecurity
• Industrial Automation Systems
• Network Anomaly Detection
• +3 more

Stjepan Groš is an Associate Professor at the Faculty of Electrical Engineering and Computing (FER) , University of Zagreb. His research focuses on cybersecurity , industrial automation , and network traffic analysis . Department of Electronics, Microelectronics, Computer and Intelligent Systems Expertise in machine learning applications for security and formal methods in SCADA systems Extensive work on anomaly detection , firewall logs , and reputation systems His recent publications examine usability of cybersecurity solutions in industrial settings, JavaScript obfuscation analysis , and synthetic log generation for security testing. Themes include network anomaly detection , endpoint security , and attack modeling . No scientific awards were explicitly mentioned in the provided text. His research also addresses real-time processor modeling and distributed intrusion detection , with practical implementations in Linux environments.

• Cybersecurity
• Privacy Preservation
• Risk Management
• +14 more

Leandros Maglaras is a Professor in the School of Computer Science and Informatics at De Montfort University, where he conducts research in the Cyber Security Centre and Software Technology Research Laboratory. He holds a PhD from the University of Huddersfield and another from the University of Thessaly, and has served as Director of the National Cyber Security Authority of Greece (2017–2019), significantly advancing national cybersecurity preparedness. His research interests include Cybersecurity, Privacy Preservation, Risk Management, Intrusion Detection, Critical Infrastructure Protection, IoT, Blockchain, and Machine Learning . He is a Senior Member of IEEE and actively contributes to editorial boards of journals such as IEEE Access and Elsevier’s ARRAY. The analysis of his recent publications reveals a strong focus on cybersecurity in IoT and critical infrastructures , leveraging advanced techniques like federated learning, blockchain, and machine learning for intrusion detection and privacy preservation. His work spans smart agriculture, vehicular networks, healthcare, and industrial control systems, emphasizing real-world applicability and dataset development. Scientific Awards: Best Paper Award at DCOSS 2019 Maglaras has led numerous EU-funded research projects (e.g., CONCORDIA, COCKPITCI) and served on editorial boards. He has contributed to national policy, including drafting Greece’s Cyber Security Strategy and NIS Directive implementation. He mentors students and collaborates extensively, though specific advisee names are not listed. He is also involved in cyber peacekeeping initiatives and has co-edited books on cybersecurity of critical infrastructures. Labs and Research Groups: Cyber Security Centre (CSC), De Montfort University Software Technology Research Laboratory (STRL)

• Predictive Maintenance
• Mixed Reality Applications
• Human-Robot Collaboration
• +5 more

Bernard Schmidt is an active researcher at the University of Skövde's School of Engineering Science, specializing in Production and Automation Engineering. His work bridges cutting-edge mixed reality applications with industrial predictive maintenance systems, focusing on sustainable manufacturing solutions. Affiliated with the Virtual Systems Research Centre (closed 2017) and Virtual Engineering Research Environment, he contributes to multiple research profiles including VF-KDO and Virtual Production Development. His research interests center on predictive maintenance methodologies , human-robot collaboration interfaces , and cloud-enhanced manufacturing systems . Schmidt develops mixed reality training environments that reduce production line disruption while improving operator safety. His work integrates double ball-bar measurements with machine learning to create population-based maintenance models that achieve 40% cost reduction compared to traditional approaches. Current projects include ACCURATE (2021-2025) and VF-KDO (2019-2026), funded by Sweden's Knowledge Foundation. Analysis of Schmidt's 15 most recent publications reveals a strong trend toward real-time industrial decision support systems using mixed reality visualization. His work consistently addresses sustainable manufacturing through energy-efficient robotics and predictive maintenance frameworks that leverage cloud computing. Key subfields include virtual sensor integration, collision avoidance algorithms, and multi-objective optimization for robotic cells - demonstrating practical applications in automotive and elevator manufacturing. Research funding highlights include: Knowledge Foundation (KKS) projects: ACCURATE (2021-2025), VF-KDO (2019-2026), Virtual Factory with Knowledge-Driven Optimization (2018-2026) European Commission grant (637107) IPSI Industrial Research School collaboration with Volvo GTO and Volvo Cars Schmidt actively supervises bachelor's degree projects at ASSAR Industrial Innovation Arena in Skövde, with recent work involving Natalia Sempere Maciá and Celia Redondo Verdú. His research integrates with ABB Robotics systems through partnerships with experts like Tommy Y. Svensson. Current laboratory work focuses on HoloLens 2 implementations for robotic cell visualization and safety system development for human-robot collaborative environments.

Reiner CreutzburgView profile

Professor

• Applied Computer Science
• Algorithms
• Data Structures
• +7 more

Prof. Dr. rer. nat. Reiner Creutzburg is a professor at the Brandenburg University of Technology Cottbus-Senftenberg in the Department of Computer Science and Media , specializing in Applied Computer Science with a focus on Algorithms and Data Structures . Research Focus: Cybersecurity, Machine Learning, Computer Vision, IoT Security, Open Source Intelligence (OSINT), and Critical Infrastructure Protection Recent Trends: Over 15 recent publications explore AI-driven cybersecurity solutions, image/video processing for event management, and secure voting systems using blockchain.